Face-Recognition-Raspberry-pi

Facial recognition using Logitech camera in Raspberry Pi 3

This project is a production ready complete intelligent Door opening system using image processing and raspberry pi. Steps to build this project.

1. Setp the Raspberry Pi 3 with opencv and python setup properly. Please check the instaalation guide of Adrian. Thanks for the brief setup https://www.pyimagesearch.com/2016/04/18/install-guide-raspberry-pi-3-raspbian-jessie-opencv-3/

2. Raspberry pi come with pre-built node-red. Upgrade in node-red is recommended.

3. Import the complete project "Face-Recognition-Raspberry-pi" in one of the folder.

4. Open Node-red and paste the complete node-red-flow in one of the node red flow page.

5. Connect the USB IR sensor in one of the raspberry pi USB port. Take the reading once the IR detect any obstacle.

Local setup without IR (Laptop)

1. You shoul have latest opencv 4 installed pip install opencv-contrib-python, if you have opencv-python in local, uninstall it as it contradicts with the latest package. Use command pip uninstall opencv-python to remove.
2. Run python train.py <your name>. This will create a separate folder in att_faces with your name and store 20 faces that are captured. It is recommended to move your face up, down and side-ways for better training and recognition.
3. Consider your Laptop webcam as '0', if you intend to use separate webcam use '1' in face_recog.py
4. Uncomment from line 108 - 110 and comment out from lines 113 - 115 if you plan to manually exit the script.
5. Run python face_recog.py

Working: Once all the setup is done. Stand infront of the camera and IR sensor placed alongside. This will trigger the python script "facerec.py" and will match with the face stored earlier while running "train.py". If the face matches the Door gets open. The secret code for the smart lock will be triggered from the raspberry pi. We have to connect the smart lock of the door to the raspberry pi unit.

Enjoy your Intelligent Door :)